Evidence map›Paper›PMID 31931801›Full record

ArticleBMC endocrine disorders2020

Walkability and its association with prevalent and incident diabetes among adults in different regions of Germany: results of pooled data from five German cohorts.

Nadja Kartschmit, Robynne Sutcliffe, Mark Patrick Sheldon, Susanne Moebus, Karin Halina Greiser, Saskia Hartwig, Detlef Thürkow, Ulrike Stentzel, Neeltje van den Berg, Kathrin Wolf and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 8 institutions in 2 countries.

Nadja KartschmitInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany.
Robynne SutcliffeCentre for Urban Epidemiology, University Clinics Essen, Hufelandstr. 55, 45122, Essen, Germany.
Mark Patrick SheldonInstitute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Susanne MoebusCentre for Urban Epidemiology, University Clinics Essen, Hufelandstr. 55, 45122, Essen, Germany.
Karin Halina GreiserInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany.
Saskia HartwigInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany.
Detlef ThürkowInstitute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, 06099, Halle (Saale), Germany.
Ulrike StentzelInstitute for Community Medicine, University Medicine Greifswald, Ellernholzstr. 1-2, 17487, Greifswald, Germany.
Neeltje van den BergInstitute for Community Medicine, University Medicine Greifswald, Ellernholzstr. 1-2, 17487, Greifswald, Germany.
Kathrin WolfGerman Center for Diabetes Research (Deutsches Zentrum für Diabetesforschung DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Werner MaierGerman Center for Diabetes Research (Deutsches Zentrum für Diabetesforschung DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Annette PetersGerman Center for Diabetes Research (Deutsches Zentrum für Diabetesforschung DZD), Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Salman AhmedCentre for Urban Epidemiology, University Clinics Essen, Hufelandstr. 55, 45122, Essen, Germany.
Corinna KöhnkeInstitute of Epidemiology and Social Medicine, University of Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Rafael MikolajczykInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany.
Andreas WienkeInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany.
Alexander KluttigInstitute of Medical Epidemiology, Biometrics and Informatics, Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany. alexander.kluttig@uk-halle.de.ORCID http://orcid.org/0000-0003-4446-9938
Gavin RudgeInstitute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Deutsches Diabetes-Zentrum e.V. · DEEssen University Hospital · DEHelmholtz Zentrum München · DEMartin Luther University Halle-Wittenberg · DEUniversitätsmedizin Greifswald · DEUniversity of Birmingham · GBGerman Cancer Research Center · DEUniversity of Münster · DE

Funding

Competence Network Diabetes Mellitus of the German Federal Ministry of Education and Research 01GI1110CCompetence Network Obesity of the German Federal Ministry of Education and Research 01GI1121B
6 · The paper itself

Abstract

backgroundHighly walkable neighbourhoods may increase transport-related and leisure-time physical activity and thus decrease the risk for obesity and obesity-related diseases, such as type 2 diabetes (T2D).

methodsWe investigated the association between walkability and prevalent/incident T2D in a pooled sample from five German cohorts. Three walkability measures were assigned to participant's addresses: number of transit stations, points of interest, and impedance (restrictions to walking due to absence of intersections and physical barriers) within 640 m. We estimated associations between walkability and prevalent/incident T2D with modified Poisson regressions and adjusted for education, sex, age at baseline, and cohort.

resultsOf the baseline 16,008 participants, 1256 participants had prevalent T2D. Participants free from T2D at baseline were followed over a mean of 9.2 years (SD: 3.5, minimum: 1.6, maximum: 14.8 years). Of these, 1032 participants developed T2D. The three walkability measures were not associated with T2D. The estimates pointed toward a zero effect or were within 7% relative risk increase per 1 standard deviation with 95% confidence intervals including 1.

conclusionIn the studied German settings, walkability differences might not explain differences in T2D.

Indexed as

ExerciseAdultAgedDiabetes Mellitus, Type 2Environment DesignFemaleFollow-Up StudiesGermanyHealth BehaviorHumansMaleMiddle AgedMotor ActivityObesityPrevalencePrognosisBuilt environmentCardio-metabolic risk factorsDiabetesEpidemiologyWalkability

Identifiers

PMID31931801
PMCPMC6958624
OpenAlexW3013034333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.